Sr. Product Manager, AI Developer Tools
Job in
El Segundo, Los Angeles County, California, 90245, USA
Listed on 2026-06-03
Listing for:
Internet Brands, Inc.
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Job Description & How to Apply Below
About the Role:
We are building an AI-enabled software development lifecycle (SDLC) platform that fundamentally changes how developers write, test, and ship code. Our platform includes a custom fork of Visual Studio Code, deep integration with Agentic AI tools such as Cline and Claude Code for autonomous AI coding, and tight coupling with You Track and Git Lab for spec-driven development workflows. We are looking for a Product Manager who will own the product vision, roadmap, and execution for this suite of AI developer tools.
This role sits at the intersection of developer experience, GenAI/ML capabilities, and enterprise tooling. You will work closely with engineering, AI research, and business stakeholders to ship products that make our 1,000+ developers dramatically more productive.
What You'll Own:
GenAI-Enabled IDE Platform
* Own the product strategy and roadmap for our Visual Studio Code fork, including custom extensions, AI-powered features, and developer UX.
* Define how autonomous coding agent capabilities integrate into developer workflows - from code generation and refactoring to automated testing and code review.
* Drive the vision for intelligent code completion, context-aware suggestions, and multi-file AI edits that go beyond basic copilot functionality.
* Plan roadmap for advanced use of Agentic AI in software development, through the use of Agent Teams, Agent Skills library, Subagents, Tools, and Hooks.
Spec-Driven Development Workflow
* Design and own the end-to-end workflow connecting You Track issue specifications to AI-generated implementation plans, code generation, and Git Lab merge requests.
* Identify best practices for context management, using open standards such as agent skills.
* Define how AI agents translate product requirements and technical specifications into actionable development tasks with automated validation.
* Build feedback loops between code review outcomes, test results, and spec refinement to continuously improve AI-assisted development quality.
Developer Productivity & Metrics
* Establish and track key productivity metrics (cycle time, code quality, developer satisfaction, AI adoption rates) across the platform.
* Run experiments and A/B tests to validate AI feature impact on real developer workflows.
* Build internal developer advocacy programs to drive adoption and gather continuous feedback from engineering teams across all brands.
What We're Looking For:
Required
* 5+ years of product management experience with at least 2 years focused on developer tools, Dev Ops platforms, or AI/ML-powered products.
* Deep understanding of the modern software development lifecycle - version control (Git), CI/CD, issue tracking, code review, and deployment pipelines.
* Hands-on familiarity with AI coding assistants (Copilot, Cline, Cursor, Aider, or similar) and a strong point of view on where AI-assisted development is headed.
* Experience with IDE ecosystems, particularly VS Code extension development and the broader VS Code architecture.
* Demonstrated ability to ship developer-facing products that achieve strong adoption in enterprise environments.
* Technical depth sufficient to engage productively with senior engineers on architecture decisions, API design, and system integration trade-offs.
* Strong analytical skills with experience defining and tracking product metrics for developer productivity.
Preferred
* Experience with agentic AI systems, multi-agent orchestration, or autonomous coding workflows.
* Familiarity with You Track, Git Lab, or similar ALM/Dev Ops tool chains and their APIs.
* Background in large language model capabilities and limitations, prompt engineering, RAG architectures, or fine-tuning strategies.
* Experience with optimization of GenAI, including prompt engineering, context engineering, different LLMs, and tool use.
* Experience working in large, multi-brand organizations with diverse engineering teams and varying technology stacks.
* Understanding of healthcare or legal technology domains and their specific compliance and quality requirements.
* Previous startup or 0-to-1 product experience building new…
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